20 meilleures offres (python developer, switzerland) (à pourvoir)

Data Scientist (m/f/d)
Syngenta Crop Protection —Stein, AG
- 100%
- Niveau Doctorat
- Analyse de données
- Anglais
- Caisse de pension
Postuler rapidement
Software development
FinTeX S.A —Genève, GE
- Oracle
- Service client
- Compétences rédactionnelles
Data Scientist, Product Analytics
SonarSource —Genève, GE
- 100%
- SQL
- Esprit d'analyse
- Technologies de l'information
3 h
EPM OneStream Developer/Business Data Analyst
EFG International —Lugano, TI
- Microsoft Powerpoint
- Microsoft Excel
- Analyse de données
Quant Developer Intern
Oryctérope Transalpin —Martigny, VS
- Niveau Doctorat
- C++
- Linux
Graduate Quant Researcher - Digital Assets
IMC —Zoug, ZG
- Télétravail
- Esprit d'analyse
- C++
- En présentiel
Senior Back end Developer
RE COLLECTION SRL —Morbio Inferiore, TI
- De 45 000 CHF à 55 000 CHF par an
- 100%
- AWS
- JavaScript
- Développement logiciel
Senior Solutions Architect, Higher Education and Research, Multimodal and Physical AI
NVIDIA —Zürich, ZH
- 100%
- Niveau Doctorat
- Anglais
- Recherche
il y a 5 jours
Forward Deployed Engineer - Switzerland
Neural Concept —Lausanne, VD
- 100%
- Travail hybride
- Niveau Doctorat
- CAD
- Anglais
Senior Full-Stack Developer - LAMP Stack in Winterthur (80-100%)
Andeo AG —Winterthour, ZH
- Travail en soirée
- Anglais
- Développement logiciel
- Technologies de l'information
il y a 11 jours
Data Scientist, Marketing Analytics
SonarSource —Genève, GE
- 100%
- SQL
- Esprit d'analyse
- Technologies de l'information
Software Engineering, Site Reliability Engineering BS/MS Intern, 2027
Google —Zürich, ZH
- De 53 000 CHF à 560 000 CHF par an
- 100%
- Informatique
- Anglais
- Recherche
il y a 4 jours
Control Strategy Developer
Johnson Electric International AG Operation —Murten, FR
- 100%
- Gestion du personnel
- Analyse de données
- Anglais
Postuler rapidement
Power Analyst
MET Group —Baar, ZG
- 100%
- Recherche
- SQL
- Esprit d'analyse
Postuler rapidement
Full-Stack Software Developer (IT-CA-OSI-2026-208-GRAE)
CERN —Genève, GE
- De 5 266 CHF à 5 793 CHF par mois
- 100%
- Travail hybride
- Informatique
- Niveau Doctorat
- Anglais
- Formation sur place
Postuler rapidement
Working Student – Data, Infrastructure & Integrations and/or AI/ML Application Development (m/f/d) (40-60%)
Corealis Consulting AG —Zürich, ZH
- Temps partiel
- Anglais
- Niveau Master
- Python
Postuler rapidement
Forward Deployed Engineer (FDE), Zurich
LumApps —Zürich, ZH
- Travail hybride
- Informatique
- Anglais
- Java
- Caisse de pension
Head of Algorithmic Trading Governance
Alpiq Holding AG —Lausanne, VD
- 100%
- Gestion du personnel
- Leadership
- Compétences en communication
9 h
Ingénieur/e en systèmes informatiques (1305 & 1306)
Administration fédérale - Département fédéral des finances DFF —Zollikofen, BE
- Anglais
- Python
Forward Deployed Engineer
Salesforce —Zürich, ZH
- 100%
- Salesforce
- Anglais
- Java

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Data Scientist (m/f/d)

Syngenta Crop Protection -
Stein, AG

Postuler rapidement

Détails de l'emploi

100% | Temps de travail : 90-100%

Avantages

Cafétéria du personnel
Caisse de pension
Allocation familiale

Qualifications

Niveau Doctorat
R
Analyse de données
Git
Anglais
Niveau Master
SQL
Esprit d'analyse
Linux
Python

Description complète du poste

Company Description

At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture. As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest.

Syngenta has been ranked as a top employer by Science Magazine, and it has been awarded with the "Friendly Work Space" label to all its Swiss sites.

Job Description

We are seeking a highly skilled Data Scientist (m/f/d) with deep expertise in developing multi-omics data integration and machine learnings methods, to join our Digital & Data Science Group in Biologicals Research. Biologicals research discovers, characterizes, optimizes and produces novel biologicals. Biologicals are derived from nature. They can be naturally occurring microbes, extracts or molecules protecting plants from pests and diseases or improving plant and soil health.
Within this role you will work on Syngenta ‘omics data to identify patterns in product performance and make predictions. You will be asked to develop methods to analyze and interpret the outcome of ‘omics experiments with your analytical skills as well as machine learning approaches. Your work will result in new tools to guide selection, optimization and development of novel Biologicals solutions.

Key responsibilities will include:

Develop and implement new multi-omics integration strategies (e.g., data harmonization, feature engineering, network-based methods) to strengthen biological interpretation and hypothesis generation
Apply and advance machine learning, statistical modeling, and AI approaches to extract insights from complex, high‑dimensional, multi‑omics datasets
Curate, quality control, and integrate large scale ’omics datasets, ensuring data integrity, reproducibility, and downstream analytical readiness
Evaluate and develop new data analysis tools, validate findings using a trial and iterative approach, and effectively communicate findings to technical and non-technical audiences
Identify data needs and provide recommendations to scientists to ensure the quantity and verify the integrity of data used for analyses
Work collaboratively to deliver new approaches, share learnings, and drive innovation in digital and data science including technology foresight
Work with R&D IT and software developers to deploy predictive model applications tailored to stakeholder needs
Support business users with change management initiatives to manage data more effectively

Qualifications

MSc or PhD in Data Science, Statistics, Machine Learning, Computational Biology, Bioinformatics, or related field with some experience in natural sciences (e.g. chemical biology, microbiology, ecology, environmental sciences)
3+ years developing multi-omics integration methods for complex biological, biochemical, environmental, or agricultural datasets
Strong proficiency in Python and/or R, UNIX/Linux environments, ML frameworks, SQL
Experience with proteomics and metabolomics data analysis would be an asset
Dynamic personality with passion for innovation and problem-solving

Additional Information

We offer a variety of financial and non-financial benefits including:

- A position which contributes to valuable and impactful work in a stimulating and international environment
- A superb working environment with an open culture and diverse workforce where new ideas are always welcome
- The opportunity to work with and learn from highly qualified and experienced employees and gain scientific and technical excellence
- Learning culture (Together we Grow) and wide range of training options
- You will profit from a competitive pension fund plan, flexible working, attractive bonus system, onsite doctor, fitness room, canteen, and other benefits such as Family friendly initiatives, Child and Family allowance

Please send your complete application with CV, a motivation letter that highlights your motivation and relevant experience for this position, diploma and work certificates (if applicable) in English. Additionally, we welcome access to git repositories showcasing relevant past projects. We will only consider applications that contain CV and motivation letters.

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : python developer (switzerland)

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